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168
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
135
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ESWS
2006
Springer
15 years 7 months ago
2006
Springer
Because metadata that underlies semantic web applications is gathered from distributed and heterogeneous data sources, it is important to ensure its quality (i.e., reduce duplicate...
176
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TCGOV
2005
Springer
15 years 9 months ago
2005
Springer
Growing complexity of the data and processes to be managed, as well as the transition from strict governmental regulation towards autonomy make academic institutions a significant ...
134
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
118
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ICCS
2005
Springer
15 years 9 months ago
2005
Springer
A multi-cluster computational environment with mixed-mode (MPI + OpenMP) parallelism for estimation of unknown regional electrical conductivities of the human head, based on realis...